1.使用over子句与rows_number()以及聚合函数进行使用,可以进行编号以及各种操作。而且利用over子句的分组效率比group by子句的效率更高。

2.在订单表(order)中统计中,生成这么每一条记录都包含如下信息:“所有订单的总和”、“每一位客户的所有订单的总和”、”每一单的金额“

  关键点:使用了sum() over() 这个开窗函数

如图:

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" alt="" />

代码如下:

select
customerID,
SUM(totalPrice) over() as AllTotalPrice,
SUM(totalPrice) over(partition by customerID) as cusTotalPrice,
totalPrice
from OP_Order

3.在订单表(order)中统计中,生成这么每一条记录都包含如下信息:“所有订单的总和(AllTotalPrice)”、“每一位客户的所有订单的总(cusTotalPrice)”、”每一单的金额(totalPrice)“,”每一个客户订单的平均金额(avgCusprice)“,”所有客户的所有订单的平均金额(avgTotalPrice)“,"客户所购的总额在所有的订单中总额的比例(CusAllPercent)","每一订单的金额在每一位客户总额中所占的比例(cusToPercent)"。

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" alt="" />

代码如下

 with tabs as
(
select
  customerID,
  SUM(totalPrice) over() as AllTotalPrice,
  SUM(totalPrice) over(partition by customerID) as cusTotalPrice,
  AVG(totalPrice) over(partition by customerID) as avgCusprice,
  AVG(totalPrice) over() as avgTotalPrice,
  totalPrice
from OP_Order
)
select
  customerID,
  AllTotalPrice,
cusTotalPrice,
totalPrice,
avgCusprice,
avgTotalPrice,
cusTotalPrice/AllTotalPrice as CusAllPercent,
totalPrice/cusTotalPrice as cusToPercent
from tabs

4.在订单表(order)中统计中,生成这么每一条记录都包含如下信息:“所有订单的总和(AllTotalPrice)”、“每一位客户的所有订单 的总(cusTotalPrice)”、”每一单的金额(totalPrice)“,”每一个客户订单的平均金额(avgCusprice)“,”所有客 户的所有订单的平均金额(avgTotalPrice)“,"订单金额最小值(MinTotalPrice)","客户订单金额最小值(MinCusPrice)","订单金额最大值(MaxTotalPrice)","客户订单金额最大值(MaxCusPrice)","客户所购的总额在所有的订单中总额的比例(CusAllPercent)","每一订单的金 额在每一位客户总额中所占的比例(cusToPercent)"。

关键:利用over子句进行操作。

如图:

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" alt="" />

具体代码如下:

  with tabs as
(
select
customerID,
SUM(totalPrice) over() as AllTotalPrice,
SUM(totalPrice) over(partition by customerID) as cusTotalPrice,
AVG(totalPrice) over(partition by customerID) as avgCusprice,
AVG(totalPrice) over() as avgTotalPrice,
MIN(totalPrice) over() as MinTotalPrice,
MIN(totalPrice) over(partition by customerID) as MinCusPrice,
MAX(totalPrice) over() as MaxTotalPrice,
MAX(totalPrice) over(partition by customerID) as MaxCusPrice,
totalPrice
from OP_Order
)
select
customerID,
AllTotalPrice,
cusTotalPrice,
totalPrice,
avgCusprice,
avgTotalPrice,
MinTotalPrice,
MinCusPrice,
MaxTotalPrice,
MaxCusPrice,
cusTotalPrice/AllTotalPrice as CusAllPercent,
totalPrice/cusTotalPrice as cusToPercent
from tabs

总结:领用聚合函数再结合over子句,可以使表格向右扩张。并进行一些数据的统计。

参考: over子句

over子句的详解

转载自:http://www.cnblogs.com/85538649/archive/2011/08/13/2137370.html

05-07 15:18